基于圆图的振荡信号网络推理

Akari Matsuki, Hiroshi Kori, Ryota Kobayashi
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引用次数: 0

摘要

要理解和控制耦合振荡器的动态,从观测数据中揭示相互作用网络的结构非常重要。虽然已经开发了多种推断异步系统网络的技术,但在没有外部刺激的情况下推断同步振荡器的网络仍然具有挑战性。在这项研究中,我们开发了一种非侵入式推断同步和/或去同步振荡器网络的方法。网络推断的一种方法是将数据拟合到描述相位振荡器动态的微分方程组中。然而,我们的研究表明,由于使用短时相位差时出现的问题,这种方法无法推断出真实的网络。因此,我们提出了一种基于圆图的方法,该方法描述了一个振荡周期中的相位变化。我们从极限周期振荡器模型的模拟数据中成功推断出网络结构,证明了所提方法的有效性。我们的方法为多种振荡器系统的网络估计提供了一个统一而简洁的框架。
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Network inference from oscillatory signals based on circle map
To understand and control the dynamics of coupled oscillators, it is important to reveal the structure of the interaction network from observed data. While various techniques have been developed for inferring the network of asynchronous systems, it remains challenging to infer the network of synchronized oscillators without external stimulations. In this study, we develop a method for non-invasively inferring the network of synchronized and/or de-synchronized oscillators. An approach to network inference would be to fit the data to a set of differential equations describing the dynamics of phase oscillators. However, we show that this method fails to infer the true network due to the problems that arise when we use short-time phase differences. Therefore, we propose a method based on the circle map, which describes the phase change in one oscillatory cycle. We demonstrate the efficacy of the proposed method through the successful inference of the network structure from simulated data of limit cycle oscillator models. Our method provides a unified and concise framework for network estimation for a wide class of oscillator systems.
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